Charles Whittaker School of Public Health pandemic preparedness, epidemiological modeling, genomic epidemiology and phylodynamics, public health surveillance, machine learning
Justin Remais School of Public Health Infectious disease dynamics, methodological issues in infectious disease surveillance, infectious diseases, infectious disease epidemiology, global environmental change, climate change, global change, urbanization, mathematical modeling, computational modeling
Joseph Lewnard School of Public Health infectious diseases, antimicrobial resistance, public health surveillance, mathematical modeling, Bayesian inference
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Ayesha S. Mahmud Dept of Demography Infectious disease dynamics, disease ecology, mathematical models, Asia, Africa, Central America, climate change
Perry de Valpine Dept of Environmental Science, Policy & Management population ecology, mathematical modeling and statistics
Maya L. Petersen Computational Precision Health Program School of Public Health causal inference, precision health, Health AI, targeted learning, HIV, global health, pandemics
Tarek Zohdi Dept of Mechanical Engineering advanced manufacturing, 3D printing systems, fire propagation and control, UAVs and swarms, ballistic fabric shielding, food-system modeling, pandemic modeling
Anders Näär Dept of Metabolic Biology and Nutrition gene expression, microRNAs, mammalian cell metabolism, Metabolic Diseases, obesity, Type 2 diabetes, NAFLD/NASH, cancer therapies